伤害后:在算法失败后,为道德修复的请求
Pak-Hang Wong1, Gernot Rieder2
1Academy of Chinese, History, Philosophy and Religion, Faculty of Arts and Social Sciences, Hong Kong Baptist University, Kowloon Tong, Hong Kong. pakhangwong@hkbu.edu.hk.
Science and engineering ethics
|September 18, 2025
概括
目前的人工智能道德专注于预防,忽视了伤害后的情景. 这项研究引入了"算法印记",以了解危害.
科学领域:
- 人工智能道德和治理
- 人工智能的社会影响
- 算法决策 - - 算法决策是指算法的决策.
背景情况:
- 人工智能和算法决策的日益增长的社会担忧.
- 目前的监管和学术努力优先考虑风险识别和预防性保障措施.
- 专注于预防忽视了伤害后的情景及其长期后果.
研究的目的:
- 突出人工智能道德和治理中对后伤害场景的不注意.
- 引入"算法印记"的概念,以了解算法损害.
- 探讨道德修复的必要性,超越系统退役或改变决策.
主要方法:
- 对人工智能伦理和治理框架的概念分析.
- "算法印记"概念的介绍和定义.
- 对当前对算法损害的反应不足的论证.
主要成果:
- 目前的预防措施不足以解决算法损害的问题.
- "算法印记"的概念为分析危害提供了一个新的镜头.
- 退役系统或撤销决定不足以获得充分的补救.
结论:
- 在人工智能伦理学中,关于伤害后情景存在一个重要的盲点.
- 解决算法损害需要通过"算法印记"承认其持久影响.
- 道德修复对于对算法伤害的全面反应至关重要.
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